Spaces:
Running
Running
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README.md
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## 🛠️ Resources
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* [Open Source Models with Hugging Face](https://www.deeplearning.ai/short-courses/open-source-models-hugging-face/) - In this course from DeepLearning.AI & 🤗, you’ll select open source models from Hugging Face Hub to perform NLP, audio, image and multimodal tasks using the Hugging Face transformers library. Easily package your code into a user-friendly app that you can run on the cloud using Gradio and Hugging Face Spaces.
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* [🤗 Courses](https://huggingface.co/learn/) - Learn about natural language processing (NLP), audio, computer vision, reinforcement learning and diffusion models.
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* [Open-Source AI Cookbook](https://huggingface.co/learn/cookbook/index) - A collection of notebooks illustrating practical aspects of building AI applications and solving various machine learning tasks using open-source tools and models.
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* [Ethics & Society at 🤗](https://huggingface.co/spaces/society-ethics/about) - A lot of useful resources from the Ethics & Society Team.
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More resources coming soon
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## ☎️ Expert Directory
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Coming soon
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## People We’re Following
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* [Newsroom Robots](https://www.newsroomrobots.com/) - An insightful podcast about AI & Journalism by Nikita Roy
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* [Francesco Marconi](https://www.linkedin.com/in/francescopmarconi/) - Applied XL CEO, he shares interesting thoughts on LinkedIn.
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* [Interconnects](https://www.interconnects.ai/) - A newsletter written by Nathan Lambert about important ideas of AI.
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* [JournalismAI](https://www.lse.ac.uk/media-and-communications/polis/JournalismAI) - A project of the London School of Economics.
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* [Reuters Institute for the Study of Journalism](https://reutersinstitute.politics.ox.ac.uk/)
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## 🛠️ Resources
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* [Open Source Models with Hugging Face](https://www.deeplearning.ai/short-courses/open-source-models-hugging-face/) - In this course from DeepLearning.AI & 🤗, you’ll select open source models from Hugging Face Hub to perform NLP, audio, image and multimodal tasks using the Hugging Face transformers library. Easily package your code into a user-friendly app that you can run on the cloud using Gradio and Hugging Face Spaces.
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* [Practical AI for Investigative Journalism](https://www.youtube.com/playlist?list=PLewNEVDy7gq1_GPUaL0OQ31QsiHP5ncAQ) - – A six-session series led by Jonathan Soma, Journalism Professor at Columbia, covering real-life use cases in journalism and featuring numerous open-source tools.
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* [Wonder Tools](https://wondertools.substack.com/p/huggingface) - Jeremy Caplan, Director of Teaching and Learning at CUNY’s Newmark Graduate School of Journalism, curated a list of interesting Spaces with potential use cases in journalism.
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* [Tasks](https://huggingface.co/tasks) - Explore demos, use cases, models, datasets, and more to get started with tasks in computer vision, NLP, audio, multimodal, and reinforcement learning.
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* [🤗 Courses](https://huggingface.co/learn/) - Learn about natural language processing (NLP), audio, computer vision, reinforcement learning and diffusion models.
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* [Open-Source AI Cookbook](https://huggingface.co/learn/cookbook/index) - A collection of notebooks illustrating practical aspects of building AI applications and solving various machine learning tasks using open-source tools and models.
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* [Ethics & Society at 🤗](https://huggingface.co/spaces/society-ethics/about) - A lot of useful resources from the Ethics & Society Team.
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More resources coming soon
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## People We’re Following
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* [Newsroom Robots](https://www.newsroomrobots.com/) - An insightful podcast about AI & Journalism by Nikita Roy
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* [Interconnects](https://www.interconnects.ai/) - A newsletter written by Nathan Lambert about important ideas of AI.
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* [JournalismAI](https://www.lse.ac.uk/media-and-communications/polis/JournalismAI) - A project of the London School of Economics.
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* [Reuters Institute for the Study of Journalism](https://reutersinstitute.politics.ox.ac.uk/)
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